Title :
Robustness analysis of polynomials with polynomial parameter dependency using Bernstein expansion
Author :
Zettler, M. ; Garloff, J.
Author_Institution :
Fachbereich Inf., Fachhochschule Konstanz, Germany
fDate :
3/1/1998 12:00:00 AM
Abstract :
This paper considers the robust stability verification of polynomials with coefficients depending polynomially on parameters varying in given intervals. Two algorithms are presented, both rely on the expansion of a multivariate polynomial into Bernstein polynomials. The first one is an improvement of the so-called Bernstein algorithm and checks the Hurwitz determinant for positivity over the parameter set. The second one is based on the analysis of the value set of the family of polynomials and profits from the convex hull property of the Bernstein polynomials. Numerical results to real-world control problems are presented showing the efficiency of both algorithms
Keywords :
asymptotic stability; matrix algebra; polynomials; robust control; Bernstein polynomials; Hurwitz stability; convex hull; multivariate polynomial; polynomial parameter dependency; polynomials; robustness; robustness analysis; Asymptotic stability; Genetic algorithms; Polynomials; Robust stability; Robustness; Stability criteria; Testing; Uncertainty; Watches;
Journal_Title :
Automatic Control, IEEE Transactions on